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    "# 彩蛋：Pytorch周边工具\n",
    "\n",
    "\n",
    "本章将介绍一些Pytorch相关的实用工具。\n",
    "\n",
    "例如：\n",
    "\n",
    "* Kaggle免费GPU使用攻略\n",
    "\n",
    "* Streamlit构建机器学习应用\n",
    "\n",
    "* mac m1芯片使用指南\n",
    "\n",
    "* optuna调参工具\n",
    "\n",
    "* gradio让你的机器学习模型性感起来\n",
    "\n",
    "* wandb模型可视化工具\n",
    "\n",
    "* wandb模型调参指南\n",
    "\n",
    "\n",
    "本部分内容尚在不断更新中。。。\n",
    "\n"
   ]
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    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
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   "source": [
    "**如果本书对你有所帮助，想鼓励一下作者，记得给本项目加一颗星星star⭐️，并分享给你的朋友们喔😊!** \n",
    "\n",
    "如果对本书内容理解上有需要进一步和作者交流的地方，欢迎在公众号\"算法美食屋\"下留言。作者时间和精力有限，会酌情予以回复。\n",
    "\n",
    "也可以在公众号后台回复关键字：**加群**，加入读者交流群和大家讨论。\n",
    "\n",
    "![算法美食屋logo.png](https://tva1.sinaimg.cn/large/e6c9d24egy1h41m2zugguj20k00b9q46.jpg)"
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